Benjamin Risse
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PostDoc in Deep Learning / Computer Vision for Biomedical Imaging University of Münster in Germany
Degree Level
Postdoc
Field of study
Computer Science
Funding
Postdoctoral Research Associate position at salary level E 13 TV-L. The post does not mention stipend amount or tuition; it is a paid employment opening.
Deadline
Sep 15, 2026
Country
Germany
University
University of Münster

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About this position
Postdoctoral Research Associate opening at the University of Münster in the group of Benjamin Risse. The position focuses on deep learning, computer vision, and modern AI methods for challenging methodological research.
Research topics mentioned include image and video analysis, object tracking, segmentation, foundation models, explainable AI, and representation learning. The application domain is biomedical imaging, especially the analysis of microscopy videos in reproductive medicine. Prior experience in biomedicine is welcome, but the key requirement is strong AI/deep learning expertise and interest in interdisciplinary research.
This is a postdoctoral opening, advertised as Wissenschaftliche*r Mitarbeiter*in with salary level E 13 TV-L. The post gives an application deadline of September 15.
Interested candidates should review the official position posting and apply via the linked University of Münster job page before the deadline.
Funding details
Postdoctoral Research Associate position at salary level E 13 TV-L. The post does not mention stipend amount or tuition; it is a paid employment opening.
What's required
Strong background in deep learning and computer vision is required. Experience with image and video analysis, object tracking, segmentation, foundation models, explainable AI, and representation learning is relevant. Previous experience in biomedicine is very welcome but not required; the main preference is strong AI/deep learning expertise and interest in interdisciplinary biomedical applications.
How to apply
Review the linked position posting on the University of Münster jobs page. Submit an application through the official posting before the deadline of September 15. Use the LinkedIn post link or the job link provided in the announcement to access the application details.
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